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ks (version 1.4.5)
Kernel smoothing
Description
Kernel density estimators and kernel discriminant analysis for multivariate data
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Install
install.packages('ks')
Monthly Downloads
37,236
Version
1.4.5
License
GPL (version 2)
Maintainer
Tarn Duong
Last Published
January 16th, 2018
Functions in ks (1.4.5)
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Hlscv, Hlscv.diag
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
Hpi, Hpi.diag
Plug-in bandwidth matrix selector for multivariate data
Hamise.mixt, Hmise.mixt, amise.mixt, ise.mixt, mise.mixt
MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities
compare, compare.kda.diag.cv, compare.kda.cv
Comparisons for kernel discriminant analysis
dmvnorm.mixt, rmvnorm.mixt
Multivariate normal mixture distribution
Hscv
Smoothed cross-validation (SCV) bandwidth matrix selector for bivariate data
dnorm.mixt, rnorm.mixt
Univariate normal mixture distribution
kde
Kernel density estimate for multivariate data
ks
ks
plot.kde
Kernel density estimate plot for 1- to 3-dimensional data
kda, Hkda, Hkda.diag
Kernel discriminant analysis for multivariate data
plotmixt
Plot for 2- and 3-dimensional normal mixture density functions.
vec, vech, invvec, invvech
Vector and vector half operators
pre.scale, pre.sphere
Pre-sphering and pre-scaling
plot.kda.kde
Kernel discriminant analysis plot for 1- to 3-dimensional data
dmvt.mixt, rmvt.mixt
Multivariate t mixture distribution
unicef
Unicef child mortality - life expectancy data
kda.kde
Kernel density estimate for kernel discriminant analysis for multivariate data
Hbcv, Hbcv.diag
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data